Study on the Influence of Information Technology on the Efficiency of Silk Road Economic Belt in Logistics Industry-Taking the Five Provinces in Northwest China as an Example
- 10.2991/icesem-18.2018.94How to use a DOI?
- Information technology; Logistics industry efficiency; Silk Road Economic Belt
In this article, we used the DEA-BCC model to evaluate the logistics efficiency of five northwestern provinces along the Silk Road Economic Belt. The result showed that in the five provinces, the average pure technical efficiency is 0.835, the scale efficiency is 0.714, and the comprehensive technical efficiency is 0.594. Then, we built the level of information development involving 3 first-level indicators, namely ICT infrastructure, ICT environment and ICT application, and 10 secondary indicators. Next, we evaluated the level of information development and ranked the logistics efficiency of the five provinces from high to low as follow: Xinjiang, Ningxia, Shaanxi, Qinghai and Gansu. Then based on the results form DEA model, we established Tobit regression model to evaluate the impact of information development level on logistics industry efficiency. And we found there is a positive correlation between the level of information development and the efficiency of logistics industry. In the last part of the article, we put forward that the five northwestern provinces should expand the scale of the logistics industry and accelerate the integration of the information technology and logistics industry to create the intelligent logistics.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qinmei Wang AU - Rui Luo PY - 2018/08 DA - 2018/08 TI - Study on the Influence of Information Technology on the Efficiency of Silk Road Economic Belt in Logistics Industry-Taking the Five Provinces in Northwest China as an Example BT - Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018) PB - Atlantis Press SP - 413 EP - 415 SN - 2352-5398 UR - https://doi.org/10.2991/icesem-18.2018.94 DO - 10.2991/icesem-18.2018.94 ID - Wang2018/08 ER -